Press release · September 24, 2026 · globenewswire.com
Docker Launches Docker Cloud Sandboxes for Isolated AI Agent Execution
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Summary
Docker, Inc. said it launched Docker Cloud Sandboxes to support secure, isolated execution of AI agents in the cloud. The company positioned the offering as a way for agentic workflows to continue after a developer’s laptop stopped running.
Docker said the change addressed a need that emerged as agentic workflows ran longer and operated unattended, including work described as more complex and higher-stakes. The company said it aimed to reduce the tradeoff between local execution and cloud execution while retaining isolation and control.
Docker Cloud Sandboxes extend Docker’s local sandbox approach into cloud infrastructure. The solution used Docker Cloud Sandboxes’ microVM isolation and policy model, with elements described as secrets, policy, MCP gateways, and agent configuration built in. Docker said developers could use a CLI and follow a trust model carried from local sandboxes.
The company said Cloud Sandboxes built on local sandboxes and added elastic cloud capacity, while compute scaled from 1 to 16 vCPUs and was fully managed by Docker. Docker also described next-generation Kits as an open specification for packaging an agentic sandbox into a single shareable artifact, with Kits built as standard OCI images. “Modern agentic workflows necessitate a fundamentally different approach to isolation,” said Mark Cavage, President at Docker, Inc. “While the containers Docker is known for still have a critical role to play, they weren’t designed for the level of isolation AI agents demand. That’s why we introduced local sandboxes as a new, separate solution earlier this year, and why we’re now extending the same level of isolation and control to the cloud. With Docker, developers get the same sandbox with the same policies whether they run their workflows locally or in Docker’s cloud, enabling them to unleash agents on any task, no matter its scope or stakes.”
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